**[OpenAI Proposes "Safety Case" Framework: Structured Safety Argumentation Required Before Frontier RL Training]** Golden Finance reports that on September 28, according to an OpenAI article, the organization advocates requiring structured safety documentation before proceeding with any frontier reinforcement learning (RL) training. Ideally, this documentation should reach the level of a "safety case," which is a comprehensive, structured, evidence-based argument about risks—a practice already used in safety-critical industries such as aviation and nuclear power. OpenAI refers to this as its aspirational "North Star" but acknowledges that the emergent complexity of AI makes achieving this level of rigor challenging. The framework consists of three components: technical safeguards (model alignment, containment, monitoring), 10 operational guidelines (covering dissent, approvals, accountability, suspension, audits, escalation, technical control failure shutdowns, rollbacks, etc.), and investigative practices for severe misalignment incidents. This framework is currently being implemented internally, will continue to evolve over the coming weeks, and OpenAI invites community feedback.